Uncovering gender bias in newspaper coverage of Irish politicians using machine learning

DC FieldValueLanguage
dc.contributor.authorLeavy, Susan-
dc.date.accessioned2019-03-14T08:54:28Z-
dc.date.available2019-03-14T08:54:28Z-
dc.date.copyright2018 the Authorsen_US
dc.date.issued2018-06-09-
dc.identifier.citationDigital Scholarship in the Humanitiesen_US
dc.identifier.issn2055-7671-
dc.identifier.urihttp://hdl.handle.net/10197/9634-
dc.description.abstractThis article presents a text-analytic approach to analysing media content for evidence of gender bias. Irish newspaper content is examined using machine learning and natural language processing techniques. Systematic differences in the coverage of male and female politicians are uncovered, and these differences are analysed for evidence of gender bias. A corpus of newspaper coverage of politicians over a 15-year period was created. Features of the text were extracted and patterns differentiating coverage of male and female politicians were identified using machine learning. Discriminative features were then analysed for evidence of gender bias. Findings showed evidence of gender bias in how female politicians were portrayed, the policies they were associated with, and how they were evaluated. This research also sets out a methodology whereby natural language processing and machine learning can be used to identify gender bias in media coverage of politicians.en_US
dc.language.isoenen_US
dc.publisherOxford University Pressen_US
dc.rightsThis is a pre-copyedited, author-produced version of an article accepted for publication in Digital Scholarship in the Humanities following peer review. The version of record Susan Leavy; Uncovering gender bias in newspaper coverage of Irish politicians using machine learning, Digital Scholarship in the Humanities, 34(1), 48-63, is available online at: https://doi.org/10.1093/llc/fqy005en_US
dc.subjectText analysisen_US
dc.subjectGenderen_US
dc.subjectPoliticsen_US
dc.subjectMediaen_US
dc.subjectText classificationen_US
dc.subjectMachine learningen_US
dc.subjectNatural language processingen_US
dc.titleUncovering gender bias in newspaper coverage of Irish politicians using machine learningen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactothersusan.leavy@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume34en_US
dc.identifier.issue1en_US
dc.identifier.startpage48en_US
dc.identifier.endpage63en_US
dc.identifier.doi10.1093/llc/fqy005-
dc.neeo.contributorLeavy|Susan|aut|-
dc.date.embargo2020-06-09en_US
dc.description.admin24 month embargo -ACen_US
dc.description.adminUpdate citation details during checkdate report - ACen_US
dc.date.updated2018-09-11T09:43:42Z-
item.grantfulltextembargo_20200609-
item.fulltextWith Fulltext-
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